Triple
T14894940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telenet Group |
E359846
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
John Porter
John Porter is a telecommunications executive best known as the longtime CEO who has led Belgium-based cable and telecom operator Telenet Group.
|
E1142723
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: John Porter | Statement: [Telenet Group, foundedBy, John Porter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Porter Context triple: [Telenet Group, foundedBy, John Porter]
-
A.
John Porter
John Porter is a British record producer and musician best known for his work on influential blues and rock albums.
-
B.
Eric Porter
Eric Porter was a distinguished English actor best known for his classical stage work and prominent roles in British television and film during the mid-20th century.
-
C.
Chris Porter
Chris Porter is a music producer best known for his work on the hit song "Back for Good" by Take That.
-
D.
Carl Porter
Carl Porter is a character from the television series "Revenge," known as the son of Amanda Clarke and Jack Porter.
-
E.
Ben Porterfield
Ben Porterfield is a technology entrepreneur best known as a co-founder of the business intelligence and data analytics company Looker.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: John Porter Triple: [Telenet Group, foundedBy, John Porter]
Generated description
John Porter is a telecommunications executive best known as the longtime CEO who has led Belgium-based cable and telecom operator Telenet Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Porter Target entity description: John Porter is a telecommunications executive best known as the longtime CEO who has led Belgium-based cable and telecom operator Telenet Group.
-
A.
John Porter
John Porter is a British record producer and musician best known for his work on influential blues and rock albums.
-
B.
Eric Porter
Eric Porter was a distinguished English actor best known for his classical stage work and prominent roles in British television and film during the mid-20th century.
-
C.
Chris Porter
Chris Porter is a music producer best known for his work on the hit song "Back for Good" by Take That.
-
D.
Carl Porter
Carl Porter is a character from the television series "Revenge," known as the son of Amanda Clarke and Jack Porter.
-
E.
Ben Porterfield
Ben Porterfield is a technology entrepreneur best known as a co-founder of the business intelligence and data analytics company Looker.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6070b248190be8f4f91a0c0b1f3 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31a49d88190a200c427fe02616f |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed46caba481908864d62936659a6d |
completed | May 9, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed4f5be0c8190a1fb6e1a176c5208 |
completed | May 9, 2026, 6:32 a.m. |
Created at: April 10, 2026, 2:10 a.m.